• Journal of Fashion Business
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• v.11 no.4
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• pp.42-51
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• 2007

The purpose of this study is to develop clothing design for mild dementia patients who display positive action in clothing for the improvement of the quality of life of the dementia patients following the symptoms of patients in accordance with the clinical classification to provide the functional assistance for ordinary living as well as emotional stability and aesthetic functions for the dementia elderly. The method of research is performed for theories through the advanced research and documentary data, and interpreted in functional and aesthetic level on the basis of the result of advance survey related to the characteristics of the mild dementia patients and clothing conduct of elderly with light dementia to select the material, color, decoration and functional design with four pairs for women and two pairs for men. Designs for the total of six have been actually produced by making the map, including the material swatch, color and others. The questionnaire as the measuring tool is used and the assessment category is made for the adaptability of design on each category. On the six clothes that are produced for the mild dementia patients, the statistics package SPSS Ver 12.0 is used for the data analysis on questions 8-10 for the frequency analysis. In overall, the leisure clothing for mild dementia patients developed from this research are generally satisfied, and overall type, material, color, detail and arrangement are generally evaluated highly, and have the assessment of normal or better in the color size and type.

• The KIPS Transactions:PartB
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• v.16B no.3
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• pp.225-232
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• 2009

Author name disambiguation is essential for improving performance of document indexing, retrieval, and web search. Author name disambiguation resolves the conflict when multiple authors share the same name label. This paper introduces a novel approach which exploits ontologies and WordNet-based category utility for author name disambiguation. Our method utilizes author knowledge in the form of populated ontology that uses various types of properties: titles, abstracts and co-authors of papers and authors' affiliation. Author ontology has been constructed in the artificial intelligence and semantic web areas semi-automatically using OWL API and heuristics. Author name disambiguation determines the correct author from various candidate authors in the populated author ontology. Candidate authors are evaluated using proposed WordNet-based category utility to resolve disambiguation. Category utility is a tradeoff between intra-class similarity and inter-class dissimilarity of author instances, where author instances are described in terms of attribute-value pairs. WordNet-based category utility has been proposed to exploit concept information in WordNet for semantic analysis for disambiguation. Experiments using the WordNet-based category utility increase the number of disambiguation by about 10% compared with that of category utility, and increase the overall amount of accuracy by around 98%.

• Journal of the Korean Society of Costume
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• v.54 no.5
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• pp.41-57
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• 2004

The purpose of this study was to analyze the 20th century＇s makeup according to aesthetic categories. On the basis of aesthetic theories, four category pairs were determined as inter-confronting aesthetic categories: beauty of utility vs. beauty of social aptness : beauty of decoration vs. beauty of construction : sublime vs. grace : classical beauty vs. romantic beauty. 20th century＇s makeup was analyzed at the interval of 10 years referring to the images of actresses in the films produced in Hollywood and European countries. It was identified that 20th century＇s makeup had changed from decorative and dramatic makeup to natural makeup as the century proceeded. Consequently, beauty of social aptness, beauty of decoration. sublime, and romantic beauty were emphasized in the early 1900s while beauty of utility. beauty of construction, grace, classical beauty were emphasized in the later 1900s. In the whole 20th century, grace is the most dominant beauty among eight aesthetic categories due to it connote femininity. As the variety of fashion increases. the makeup patterns has become more diversified in recent years.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.1629-1633
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• 2013

Background: Gene set analysis (GSA) incorporates biological with statistical knowledge to identify gene sets which are differentially expressed that between two or more phenotypes. Materials and Methods: In this paper gene sets differentially expressed between acute lymphoblastic leukaemia (ALL) with BCR-ABL and those with no observed cytogenetic abnormalities were determined by GSA methods. The BCR-ABL is an abnormal gene found in some people with ALL. Results: The results of two GSAs showed that the Category test identified 30 gene sets differentially expressed between two phenotypes, while the Hotelling's $T^2$ could discover just 19 gene sets. On the other hand, assessment of common genes among significant gene sets showed that there were high agreement between the results of GSA and the findings of biologists. In addition, the performance of these methods was compared by simulated and ALL data. Conclusions: The results on simulated data indicated decrease in the type I error rate and increase the power in multivariate (Hotelling's $T^2$) test as increasing the correlation between gene pairs in contrast to the univariate (Category) test.

• Journal of the Ergonomics Society of Korea
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• v.17 no.1
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• pp.55-65
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• 1998

This paper describes study of design specifications of restaurant/cafe signboard for new generation. Signboard is an important element in restaurant/cafe, especially for sensitive new generation, that affects image of and first impression on it. The design elements of a signboard that were chosen for analysis were background color, lettering, and letter color, which were found to have strong influences on impression of signboard in questionnaire survey. Using different combination of these design elements, fifteen samples were created for subjective evaluation. 30 pairs of adjectives which were shown to be related to signboard significantly in the first evaluation were used by fifteen subjects, twelve men and three women. Subjective evaluations were carried out by semantic differential methods, and then analyzed by using multivariate analyses. Among three design elements, the background color affected impression of signboard most significantly. The relationships between design elements (item/category) and subjective impressions were suggested using quantification theory I, which could be used as design guidelines when designing restaurant/cafe signboard with specific human sensibility ergonomic characteristics.

• Journal of the Korean Mathematical Society
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• v.43 no.3
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• pp.491-506
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• 2006

In this paper, we extend the concept of the group ${\varepsilon}(X)$ of self homotopy equivalences of a space X to that of an object in the category of pairs. Mainly, we study the group ${\varepsilon}(X,\;A)$ of pair homotopy equivalences from a CW-pair (X, A) to itself which is the special case of the extended concept. For a CW-pair (X, A), we find an exact sequence $1\;{\to}\;G\;{\to}\;{\varepsilon}(X,\;A)\;{to}\;{\varepsilon}(A)$ where G is a subgroup of ${\varepsilon}(X,\;A)$. Especially, for CW homotopy associative and inversive H-spaces X and Y, we obtain a split short exact sequence $1\;{\to}\;{\varepsilon}(X)\;{\to}\;{\varepsilon}(X{\times}Y,Y)\;{\to}\;{\varepsilon}(Y)\;{\to}\;1$ provided the two sets $[X{\wedge}Y,\;X{\times}Y]$ and [X, Y] are trivial.

• ETRI Journal
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• v.34 no.5
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• pp.795-798
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• 2012

This letter proposes a new low-complexity motion estimation method. The proposed method classifies various nonmatching pixel pairs into several categories and assigns an appropriate weight for each category in the matching stage. As a result, it can significantly improve performance compared to that of the conventional methods by adding only one 1-bit addition and two Boolean operations per pixel.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1464-1479
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• 2018

In face recognition, sometimes the number of available training samples for single category is insufficient. Therefore, the performances of models trained by convolutional neural network are not ideal. The small sample face recognition algorithm based on novel Siamese network is proposed in this paper, which doesn't need rich samples for training. The algorithm designs and realizes a new Siamese network model, SiameseFacel, which uses pairs of face images as inputs and maps them to target space so that the $L_2$ norm distance in target space can represent the semantic distance in input space. The mapping is represented by the neural network in supervised learning. Moreover, a more lightweight Siamese network model, SiameseFace2, is designed to reduce the network parameters without losing accuracy. We also present a new method to generate training data and expand the number of training samples for single category in AR and labeled faces in the wild (LFW) datasets, which improves the recognition accuracy of the models. Four loss functions are adopted to carry out experiments on AR and LFW datasets. The results show that the contrastive loss function combined with new Siamese network model in this paper can effectively improve the accuracy of face recognition.

• Advances in Computational Design
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• v.2 no.4
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• pp.293-311
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• 2017

There are several claimed benefits for the impact of design patterns (DPs) on software quality. However, the association between design patterns and fault-proneness has been a controversial issue. In this work, we evaluate the fault-proneness of design patterns at four levels: the design level, category level, pattern level, and role level. We used five subject systems in our empirical study. As a result, we found that, at the design level, the classes that participate in the design patterns are less fault-prone than the non-participant classes. At the category level, we found that the classes that participate in the behavioral and structural categories are less fault-prone than the non-participant classes. In addition, we found that the classes that participate in the structural design patterns are less fault-prone than the classes that participate in the other categories. At the pattern level, we found that only five patterns show significant associations with fault-proneness: builder, factory method, adapter, composite, and decorator. All of these patterns except for builder show that the classes that participate in each one of them are less fault-prone than the non-participant classes in that pattern. The classes that participate in the builder design pattern were more fault-prone than the non-participant classes and the classes that participate in several patterns: the adapter, the composite, and the decorator design patterns. At the role level, the most significant differences were between the classes that participate in some roles and the non-participant classes. Only three pairs of design pattern roles show significant differences. These roles are concrete-product vs. concrete-creator, adapter vs. adaptee, and adapter vs. client. The results recommend the use of design patterns because they are less fault-prone in general except for the builder design pattern, which should be applied with care and addressed with more test cases.

• Phonetics and Speech Sciences
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• v.11 no.1
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• pp.29-40
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• 2019

The paper investigates the minimal pair of Korean phonemes quantitatively. To achieve this goal, I calculated the number of consonant minimal pairs in the syllable-initial position as both raw counts and relative counts, and analyzed the part of speech relations of the two words in the minimal pair. "Urimalsaem" was chosen as the object of this study because it was judged that the minimal pair analysis should be done through a dictionary and it is the largest among Korean dictionaries. The results of the study are summarized as follows. First, there were 153 types of minimal pairs out of 337,135 examples. The ranking of phoneme pairs from highest to lowest was 'ㅅ-ㅈ, ㄱ-ㅅ, ㄱ-ㅈ, ㄱ-ㅂ, ㄱ-ㅎ, ${\ldots}$, ㅆ-ㅋ, ㄸ-ㅋ, ㅉ-ㅋ, ㄹ-ㅃ, ㅃ-ㅋ'. The phonemes that played a major role in the formation of the minimal pair were /ㄱ, ㅅ, ㅈ, ㅂ, ㅊ/, in that order, which showed a high proportion of palatals. The correlation between the raw count of minimal pairs and the relative count of minimal pairs was found to be quite high r=0.937. Second, 87.91% of the minimal pairs shared the part of speech (same syntactic category). The most frequently observed type has been 'noun-noun' pair (70.25%), and 'vowel-vowel' pair (14.77%) was the next ranking. It can be indicated that the minimal pair could be grouped into similar categories in terms of semantics. The results of this study can be useful for various research in Korean linguistics, speech-language pathology, language education, language acquisition, speech synthesis, and artificial intelligence-machine learning as basic data related to Korean phonemes.